docstr: Parameters
  ----------
  self
       An N-D Array representing the probability of a 1 event.
       Each entry in the Array parameterizes an independent Bernoulli
       distribution. Only one of logits or probs should be passed in
  logits
      An N-D Array representing the log-odds of a 1 event.
      Each entry in the Array parameterizes an independent Bernoulli
      distribution where the probability of an event is sigmoid
      (logits). Only one of logits or probs should be passed in.
  
  shape
      If the given shape is, e.g '(m, n, k)', then 'm * n * k' samples are drawn.
      (Default value = 'None', where 'ivy.shape(logits)' samples are drawn)
  device
      device on which to create the array 'cuda:0', 'cuda:1', 'cpu' etc.
      (Default value = None).
  
  dtype
      output array data type. If ``dtype`` is ``None``, the output array data
      type will be the default floating-point data type. Default ``None``
  seed
      A python integer. Used to create a random seed distribution
  out
      optional output array, for writing the result to. It must
      have a shape that the inputs broadcast to.
  
  Returns
  -------
  ret
      Drawn samples from the Bernoulli distribution
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code: def bernoulli(
      self: ivy.Array,
      *,
      logits: Optional[Union[float, ivy.Array, ivy.NativeArray]] = None,
      shape: Optional[Union[ivy.Shape, ivy.NativeShape]] = None,
      device: Optional[Union[ivy.Device, ivy.NativeDevice]] = None,
      dtype: Optional[Union[ivy.Dtype, ivy.NativeDtype]] = None,
      seed: Optional[int] = None,
      out: Optional[ivy.Array] = None,
  ):
      """
  
      Parameters
      ----------
      self
           An N-D Array representing the probability of a 1 event.
           Each entry in the Array parameterizes an independent Bernoulli
           distribution. Only one of logits or probs should be passed in
      logits
          An N-D Array representing the log-odds of a 1 event.
          Each entry in the Array parameterizes an independent Bernoulli
          distribution where the probability of an event is sigmoid
          (logits). Only one of logits or probs should be passed in.
  
      shape
          If the given shape is, e.g '(m, n, k)', then 'm * n * k' samples are drawn.
          (Default value = 'None', where 'ivy.shape(logits)' samples are drawn)
      device
          device on which to create the array 'cuda:0', 'cuda:1', 'cpu' etc.
          (Default value = None).
  
      dtype
          output array data type. If ``dtype`` is ``None``, the output array data
          type will be the default floating-point data type. Default ``None``
      seed
          A python integer. Used to create a random seed distribution
      out
          optional output array, for writing the result to. It must
          have a shape that the inputs broadcast to.
  
      Returns
      -------
      ret
          Drawn samples from the Bernoulli distribution
      """
      return ivy.bernoulli(
          self,
          logits=logits,
          shape=shape,
          device=device,
          dtype=dtype,
          seed=seed,
          out=out,
      )
  
file_path: ivy/ivy/data_classes/array/experimental/random.py
imports: import abc
  from typing import Optional, Union
  import ivy
label_desc: Use image node_id 5 for calling the _ArrayWithRandomExperimental obj's underlying member method code with example usage: obj.bernoulli() and returns: ivy